kavya-5 opened a new issue, #23499:
URL: https://github.com/apache/airflow/issues/23499

   ### Apache Airflow version
   
   2.2.3
   
   ### What happened
   
   Hi, I am running a DAG in airflow that takes custom params as input.
   This param is passed to a PythonOperator to be used in the logic.
   This PythonOperator is expected to run for at least 12 hours until a 
condition is met. But, there is an error encountered in within few mins maybe 
about 20 mins from the start of the task (PythonOperator) that is `ERROR - 
LocalTaskJob heartbeat got an exception` 
   There is also another exception : `sqlalchemy.exc.OperationalError: 
(psycopg2.OperationalError) connection to server at 
"airflow-sqlproxy-service.default.svc.cluster.local" (10.67.240.74), port 3306 
failed: server closed the connection unexpectedly
        This probably means the server terminated abnormally
        before or while processing the request.`
   
   
   ### What you think should happen instead
   
   Before using the custom params, these PythonOperators would run for 12 hours 
and execute the tasks successfully.
   This ERROR occurred after switching to params.
   
   ### How to reproduce
   
   To reproduce this issue, maybe one can excute a PythonOperatro as follows
   
   ```
   with models.DAG(
           'Test_dag',
           schedule_interval='0 0 * * *',
           start_date=dt.datetime(2022,4,14),
           default_args={
               'depends_on_past': False,
               'retries': 10,
               'retry_delay': timedelta(minutes=10)
               },
           params={
           "date": date.today().strftime("%Y%m%d")
       },
           catchup=False) as dag:
       checktime = PythonOperator(
       task_id= "Check_time",
       python_callable= checkTime,
       op_kwargs={
               "date": "{{params.date}}",
              },
       dag=dag,
       )
       def checkTime(date):
          today=dt.datetime.strptime(date, "%Y%m%d")
          runtime=today.replace(hour=12, minute=0, second=0, microsecond=0)
           import time
           while True:
   
               current_time = dt.datetime.now()
               if current_time>=runtime:
                   break
               else:
                   time.sleep(45)
   ```
   
   
   ### Operating System
   
   I am running Airflow on Google Cloud Composer, which is managed Airflow 
service by Google Cloud
   
   ### Versions of Apache Airflow Providers
   
   _No response_
   
   ### Deployment
   
   Composer
   
   ### Deployment details
   
   _No response_
   
   ### Anything else
   
   _No response_
   
   ### Are you willing to submit PR?
   
   - [X] Yes I am willing to submit a PR!
   
   ### Code of Conduct
   
   - [X] I agree to follow this project's [Code of 
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
   


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